Nandita Mitra is an American biostatistician, and a professor in the Department of Biostatistics and Epidemiology of the Perelman School of Medicine at the University of Pennsylvania.^[1] Her research topics include causal inference, health economics and cost-effectiveness analysis, difference in differences estimation, and statistical applications in public health and cancer research.^[2] She is editor-in-chief of Observational Studies.^[3]

Mitra majored in mathematics at Brown University, graduating in 1992. After a 1996 master's degree in biostatistics at the University of California, Berkeley, she completed a PhD in biostatistics at Columbia University in 2001.^[1] Her dissertation, Analyzing Data From Non-Randomized Studies Using Propensity Score Methodology, was supervised by Daniel F. Heitjan.^[4]

She became a postdoctoral fellow at the Harvard T.H. Chan School of Public Health and a faculty member at the Memorial Sloan Kettering Cancer Center before moving to the University of Pennsylvania in 2005.^[5]

Mitra is editor-in-chief of Observational Studies, an open-access journal published by the University of Pennsylvania.^[3] She was the 2023 chair of the American Statistical Association Section on Statistics in Epidemiology.^[6]

Mitra was named as a Fellow of the American Statistical Association in 2019.^[7]

She was the 2024 recipient of the L. Adrienne Cupples Award for Excellence in Teaching, Research, and Service in Biostatistics, given by the Boston University School of Public Health.^[2]

• Mitra Lab
• Nandita Mitra publications indexed by Google Scholar